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If you try to get the Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification that you will find there are so many chances wait for you. You can get a better job; you can get more salary. But if you are trouble with the difficult of Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam, you can consider choose our DP-900 Deutsch exam questions to improve your knowledge to pass Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam, which is your testimony of competence. Now we are going to introduce our DP-900 Deutsch test guide to you, please read it carefully.

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General Overview of Microsoft DP-900 Exam

The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.

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How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Non-Relational Data in Azure15-20%- Non-relational data concepts
- Azure storage services
  • 1. Azure Blob Storage
    • 2. Azure Table Storage
      • 3. Azure Cosmos DB
        - Data processing options for non-relational data
        Analytics Workloads in Azure25-30%- Data analytics concepts
        - Azure analytics services
        • 1. Azure Synapse Analytics
          • 2. Azure Data Lake Storage
            • 3. Power BI
              - Data visualization and reporting
              - Data ingestion and processing
              Relational Data in Azure20-25%- Azure relational data services
              • 1. SQL Server on Azure VMs
                • 2. Azure SQL Managed Instance
                  • 3. Azure SQL Database
                    - Querying relational data
                    - Relational data concepts
                    Core Data Concepts25-30%- Relational vs non-relational data
                    - Roles and responsibilities in data work
                    - Types of core data workloads
                    - Data analytics workloads overview

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